Robust features fusion utilization for supervised palmprint recognition

2022 ◽  
Author(s):  
Mohamed Maher Ata ◽  
Khaled Mohammed Elgamily ◽  
Mohamed A. Mohamed
Keyword(s):  
Palmprint Recognition ◽  
Features Fusion

Bidirectional aggregated features fusion from CNN for palmprint recognition

2018 ◽  
Vol 10 (4) ◽  
pp. 334 ◽  
Author(s):  
Jianxin Zhang ◽  
Aoqi Yang ◽  
Mingli Zhang ◽  
Qiang Zhang
Keyword(s):  
Palmprint Recognition ◽  
Features Fusion

Bidirectional aggregated features fusion from CNN for palmprint recognition

2018 ◽  
Vol 10 (4) ◽  
pp. 334
Author(s):  
Mingli Zhang ◽  
Qiang Zhang ◽  
Jianxin Zhang ◽  
Aoqi Yang
Keyword(s):  
Palmprint Recognition ◽  
Features Fusion

Color Perception Algorithm of Medical Images Using Multi-features Fusion

2018 ◽  
Vol 30 (3) ◽  
pp. 375
Author(s):  
Xianhua Zeng ◽  
Aozhu Chen ◽  
Shanshan He
Keyword(s):  
Medical Images ◽  
Color Perception ◽  
Features Fusion

Towards Cross-dataset Palmprint Recognition via Joint Pixel and Feature Alignment

2021 ◽  
pp. 1-1
Author(s):  
Huikai Shao ◽  
Dexing Zhong
Keyword(s):  
Palmprint Recognition ◽  
Feature Alignment

scholarly journals 2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search

2021 ◽  
Author(s):  
Wei Jia ◽  
Wei Xia ◽  
Yang Zhao ◽  
Hai Min ◽  
Yan-Xiang Chen
Keyword(s):  
Deep Learning ◽  
Recognition Performance ◽  
Research Direction ◽  
Palmprint Recognition ◽  
Neural Architecture ◽  
Development Direction ◽  
Vein Recognition ◽  
Palm Vein ◽  
2D And 3D ◽  
Important Research Direction

AbstractPalmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition and have achieved impressive results. In recent years, in the field of artificial intelligence, deep learning has gradually become the mainstream recognition technology because of its excellent recognition performance. Some researchers have tried to use convolutional neural networks (CNNs) for palmprint recognition and palm vein recognition. However, the architectures of these CNNs have mostly been developed manually by human experts, which is a time-consuming and error-prone process. In order to overcome some shortcomings of manually designed CNN, neural architecture search (NAS) technology has become an important research direction of deep learning. The significance of NAS is to solve the deep learning model’s parameter adjustment problem, which is a cross-study combining optimization and machine learning. NAS technology represents the future development direction of deep learning. However, up to now, NAS technology has not been well studied for palmprint recognition and palm vein recognition. In this paper, in order to investigate the problem of NAS-based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct a performance evaluation of twenty representative NAS methods on five 2D palmprint databases, two palm vein databases, and one 3D palmprint database. Experimental results show that some NAS methods can achieve promising recognition results. Remarkably, among different evaluated NAS methods, ProxylessNAS achieves the best recognition performance.

Fuzzy inference systems based on multi-type features fusion for intra-hour solar irradiance forecasts

2021 ◽  
Vol 45 ◽  
pp. 101061
Author(s):  
Xin Zhao ◽  
Liping Xie ◽  
Haikun Wei ◽  
Hai Wang ◽  
Kanjian Zhang
Keyword(s):  
Solar Irradiance ◽  
Fuzzy Inference ◽  
Fuzzy Inference Systems ◽  
Features Fusion ◽  
Inference Systems

Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition

2021 ◽  
Author(s):  
Lunke Fei ◽  
Jianyang Qin ◽  
Peng Liu ◽  
Jie Wen ◽  
Chunwei Tian ◽  
...  
Keyword(s):  
Palmprint Recognition

scholarly journals A tongue features fusion approach to predicting prediabetes and diabetes with machine learning

2021 ◽  
Vol 115 ◽  
pp. 103693
Author(s):  
Jun Li ◽  
Pei Yuan ◽  
Xiaojuan Hu ◽  
Jingbin Huang ◽  
Longtao Cui ◽  
...  
Keyword(s):  
Machine Learning ◽  
Features Fusion ◽  
Fusion Approach

Deep Features Fusion with Mutual Attention Transformer for Skin Lesion Diagnosis

2021 ◽  
Author(s):  
Li Zhou ◽  
Yan Luo
Keyword(s):  
Skin Lesion ◽  
Features Fusion
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